text-to-sparql-LCQUAD
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Gen Len: 19.0
- Bertscorer-p: 0.2282
- Bertscorer-r: -0.5504
- Bertscorer-f1: -0.1909
- Sacrebleu-score: 0.0000
- Sacrebleu-precisions: [100.0, 100.0, 100.0, 100.0]
- Bleu-bp: 0.0000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.0019 | 1.0 | 2491 | 0.0000 | 19.0 | 0.2282 | -0.5504 | -0.1909 | 0.0000 | [100.0, 100.0, 100.0, 100.0] | 0.0000 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2